Pentagon CTO Warns Against US Stakes in AI Companies

The Trump administration should steer clear of nationalizing or taking equity stakes in artificial intelligence companies, according to Department of Defense Chief Technology Officer Emil Michael.

"We don’t want government to get in the middle," said Emil Michael, Chief Technology Officer, Department of Defense, during an appearance on CNBC's 'Squawk on the Street'.

Contrasting Stances on Federal Intervention

Michael's remarks draw a clear line regarding federal involvement in private industry. Despite warnings from administration officials against heavy government footprints, the second administration of President Donald Trump has actively taken ownership positions across parts of the corporate sector.

Notable federal interventions include a 10% equity stake in Intel and securing a "golden share" in U.S. Steel, which is now a subsidiary of Nippon Steel. These industrial policy moves aimed to protect domestic manufacturing and supply chains, yet the Pentagon's top technologist insists that the fast-moving artificial intelligence sector requires a fundamentally different approach.

Skepticism Toward Pre-Regulation Frameworks

Beyond ownership stakes, Michael expressed opposition to ramping up heavy regulatory oversight for AI firms. He contrasted the U.S. stance against pre-regulation frameworks such as those implemented in Europe, favoring an environment that holds companies accountable for safe product development rather than imposing prescriptive bureaucratic rules upfront.

"I don't know what kind of regulation would stop that from happening," said Emil Michael, Chief Technology Officer, Department of Defense, regarding a recent AI hack of Hugging Face that he characterized as "concerning."

What Is at Stake for the AI Sector

The debate over federal oversight and equity involvement carries substantial weight for enterprise tech companies navigating national security demands and compliance rules. As defense agencies increasingly rely on commercial artificial intelligence models, the policy divide between industrial intervention in legacy manufacturing and hands-off development in frontier tech will shape how software developers interface with the federal government.